Overview

Dataset statistics

Number of variables4
Number of observations326
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.6 KiB
Average record size in memory33.4 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description한국국제교류재단이 한국 관련 주요 현안을 연구를 활성화하기 위해 수행하는 해외정책연구지원 사업에 관한 정보를 제공합니다. (미국 제외)
Author한국국제교류재단
URLhttps://www.data.go.kr/data/15003442/fileData.do

Reproduction

Analysis started2024-03-14 23:04:58.020449
Analysis finished2024-03-14 23:04:59.225937
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업연도
Real number (ℝ)

Distinct7
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.9202
Minimum2017
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-03-15T08:04:59.382076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2017
Q12018
median2020
Q32022
95-th percentile2023
Maximum2023
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.8777453
Coefficient of variation (CV)0.00092961357
Kurtosis-1.1292713
Mean2019.9202
Median Absolute Deviation (MAD)2
Skewness0.13296073
Sum658494
Variance3.5259273
MonotonicityIncreasing
2024-03-15T08:04:59.768813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2018 63
19.3%
2020 62
19.0%
2019 47
14.4%
2022 45
13.8%
2021 39
12.0%
2023 38
11.7%
2017 32
9.8%
ValueCountFrequency (%)
2017 32
9.8%
2018 63
19.3%
2019 47
14.4%
2020 62
19.0%
2021 39
12.0%
2022 45
13.8%
2023 38
11.7%
ValueCountFrequency (%)
2023 38
11.7%
2022 45
13.8%
2021 39
12.0%
2020 62
19.0%
2019 47
14.4%
2018 63
19.3%
2017 32
9.8%

국가
Categorical

Distinct41
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
미국
77 
중국
24 
일본
20 
영국
 
16
벨기에
 
15
Other values (36)
174 

Length

Max length7
Median length2
Mean length2.9141104
Min length2

Unique

Unique10 ?
Unique (%)3.1%

Sample

1st row독일
2nd row러시아
3rd row러시아
4th row러시아
5th row미국

Common Values

ValueCountFrequency (%)
미국 77
23.6%
중국 24
 
7.4%
일본 20
 
6.1%
영국 16
 
4.9%
벨기에 15
 
4.6%
스웨덴 15
 
4.6%
인도네시아 14
 
4.3%
독일 11
 
3.4%
러시아 11
 
3.4%
오스트레일리아 10
 
3.1%
Other values (31) 113
34.7%

Length

2024-03-15T08:05:00.249158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
미국 77
23.6%
중국 24
 
7.4%
일본 20
 
6.1%
영국 16
 
4.9%
벨기에 15
 
4.6%
스웨덴 15
 
4.6%
인도네시아 14
 
4.3%
독일 11
 
3.4%
러시아 11
 
3.4%
오스트레일리아 10
 
3.1%
Other values (31) 113
34.7%

연구기관명
Text

Distinct221
Distinct (%)67.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-15T08:05:01.880011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length127
Median length68
Mean length40.868098
Min length4

Characters and Unicode

Total characters13323
Distinct characters104
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique160 ?
Unique (%)49.1%

Sample

1st rowFreie Univeristy Berlin (FU)
2nd row극동연방대학교(서울대 아시아연구소 중앙아센터, 한림대국제대학원 공동)
3rd row국제경제 및 국제관계 연구소 (IMEMO)
4th rowCarnegie Moscow Center
5th rowChicago Council on Global Affairs (CCGA)
ValueCountFrequency (%)
of 132
 
7.3%
university 111
 
6.1%
institute 92
 
5.1%
for 92
 
5.1%
studies 65
 
3.6%
center 58
 
3.2%
and 47
 
2.6%
international 45
 
2.5%
research 42
 
2.3%
the 32
 
1.8%
Other values (379) 1093
60.4%
2024-03-15T08:05:03.545036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1498
 
11.2%
e 1084
 
8.1%
i 987
 
7.4%
n 961
 
7.2%
t 953
 
7.2%
a 777
 
5.8%
o 754
 
5.7%
r 684
 
5.1%
s 589
 
4.4%
S 351
 
2.6%
Other values (94) 4685
35.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9320
70.0%
Uppercase Letter 2011
 
15.1%
Space Separator 1498
 
11.2%
Open Punctuation 160
 
1.2%
Close Punctuation 160
 
1.2%
Other Letter 88
 
0.7%
Other Punctuation 68
 
0.5%
Dash Punctuation 14
 
0.1%
Decimal Number 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 6
 
6.8%
연 6
 
6.8%
제 6
 
6.8%
국 5
 
5.7%
대 5
 
5.7%
소 5
 
5.7%
구 5
 
5.7%
시 3
 
3.4%
네 3
 
3.4%
스 2
 
2.3%
Other values (36) 42
47.7%
Lowercase Letter
ValueCountFrequency (%)
e 1084
11.6%
i 987
10.6%
n 961
10.3%
t 953
10.2%
a 777
8.3%
o 754
8.1%
r 684
 
7.3%
s 589
 
6.3%
u 344
 
3.7%
c 336
 
3.6%
Other values (16) 1851
19.9%
Uppercase Letter
ValueCountFrequency (%)
S 351
17.5%
I 273
13.6%
C 201
10.0%
U 168
 
8.4%
A 168
 
8.4%
R 114
 
5.7%
P 94
 
4.7%
F 76
 
3.8%
E 73
 
3.6%
N 66
 
3.3%
Other values (14) 427
21.2%
Other Punctuation
ValueCountFrequency (%)
, 59
86.8%
. 5
 
7.4%
& 4
 
5.9%
Space Separator
ValueCountFrequency (%)
1498
100.0%
Open Punctuation
ValueCountFrequency (%)
( 160
100.0%
Close Punctuation
ValueCountFrequency (%)
) 160
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Decimal Number
ValueCountFrequency (%)
4 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11331
85.0%
Common 1904
 
14.3%
Hangul 88
 
0.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1084
 
9.6%
i 987
 
8.7%
n 961
 
8.5%
t 953
 
8.4%
a 777
 
6.9%
o 754
 
6.7%
r 684
 
6.0%
s 589
 
5.2%
S 351
 
3.1%
u 344
 
3.0%
Other values (40) 3847
34.0%
Hangul
ValueCountFrequency (%)
아 6
 
6.8%
연 6
 
6.8%
제 6
 
6.8%
국 5
 
5.7%
대 5
 
5.7%
소 5
 
5.7%
구 5
 
5.7%
시 3
 
3.4%
네 3
 
3.4%
스 2
 
2.3%
Other values (36) 42
47.7%
Common
ValueCountFrequency (%)
1498
78.7%
( 160
 
8.4%
) 160
 
8.4%
, 59
 
3.1%
- 14
 
0.7%
. 5
 
0.3%
& 4
 
0.2%
4 4
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13235
99.3%
Hangul 88
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1498
 
11.3%
e 1084
 
8.2%
i 987
 
7.5%
n 961
 
7.3%
t 953
 
7.2%
a 777
 
5.9%
o 754
 
5.7%
r 684
 
5.2%
s 589
 
4.5%
S 351
 
2.7%
Other values (48) 4597
34.7%
Hangul
ValueCountFrequency (%)
아 6
 
6.8%
연 6
 
6.8%
제 6
 
6.8%
국 5
 
5.7%
대 5
 
5.7%
소 5
 
5.7%
구 5
 
5.7%
시 3
 
3.4%
네 3
 
3.4%
스 2
 
2.3%
Other values (36) 42
47.7%

사업명
Text

Distinct309
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-15T08:05:04.732200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length214
Median length126
Mean length76.763804
Min length11

Characters and Unicode

Total characters25025
Distinct characters186
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique298 ?
Unique (%)91.4%

Sample

1st rowEstablishment of Fellow Position “Korea in East Asia”
2nd rowA Multi-Level and International Study on the Development of Korean-Russian Relations and the Formation of New Order in Northeast Asia: In Search of Mini-lateralism
3rd rowBeyond Six-Party Talks New Agenda for Korean Peninsula and Regional Powers
4th rowRepublic of Korea’s Relations with Russia: Assessing the Regional and Global Context
5th row2017 Chicago Council Survey with a special focus on the Korea-US relationship and additional engagement and dissemination with young professionals
ValueCountFrequency (%)
and 216
 
6.1%
the 206
 
5.8%
korea 135
 
3.8%
of 126
 
3.6%
in 109
 
3.1%
korean 76
 
2.2%
on 60
 
1.7%
for 55
 
1.6%
a 53
 
1.5%
policy 45
 
1.3%
Other values (995) 2451
69.4%
2024-03-15T08:05:06.280370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3250
13.0%
e 2146
 
8.6%
a 1886
 
7.5%
n 1799
 
7.2%
o 1797
 
7.2%
i 1633
 
6.5%
t 1411
 
5.6%
r 1360
 
5.4%
s 908
 
3.6%
l 742
 
3.0%
Other values (176) 8093
32.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 18137
72.5%
Space Separator 3250
 
13.0%
Uppercase Letter 2812
 
11.2%
Other Letter 269
 
1.1%
Dash Punctuation 204
 
0.8%
Other Punctuation 154
 
0.6%
Decimal Number 134
 
0.5%
Final Punctuation 41
 
0.2%
Open Punctuation 9
 
< 0.1%
Close Punctuation 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 21
 
7.8%
구 9
 
3.3%
대 9
 
3.3%
국 8
 
3.0%
에 8
 
3.0%
중 8
 
3.0%
연 7
 
2.6%
제 7
 
2.6%
시 6
 
2.2%
전 6
 
2.2%
Other values (100) 180
66.9%
Lowercase Letter
ValueCountFrequency (%)
e 2146
11.8%
a 1886
10.4%
n 1799
9.9%
o 1797
9.9%
i 1633
9.0%
t 1411
 
7.8%
r 1360
 
7.5%
s 908
 
5.0%
l 742
 
4.1%
c 602
 
3.3%
Other values (16) 3853
21.2%
Uppercase Letter
ValueCountFrequency (%)
K 354
12.6%
S 326
11.6%
P 321
11.4%
C 228
 
8.1%
R 178
 
6.3%
A 176
 
6.3%
E 152
 
5.4%
I 122
 
4.3%
N 117
 
4.2%
F 115
 
4.1%
Other values (15) 723
25.7%
Decimal Number
ValueCountFrequency (%)
2 46
34.3%
0 33
24.6%
1 19
14.2%
3 11
 
8.2%
8 8
 
6.0%
4 5
 
3.7%
7 4
 
3.0%
5 4
 
3.0%
9 3
 
2.2%
6 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
, 60
39.0%
. 34
22.1%
: 33
21.4%
' 17
 
11.0%
& 7
 
4.5%
/ 2
 
1.3%
# 1
 
0.6%
Final Punctuation
ValueCountFrequency (%)
’ 37
90.2%
” 4
 
9.8%
Initial Punctuation
ValueCountFrequency (%)
“ 4
66.7%
‘ 2
33.3%
Space Separator
ValueCountFrequency (%)
3250
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 204
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 20949
83.7%
Common 3807
 
15.2%
Hangul 269
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 21
 
7.8%
구 9
 
3.3%
대 9
 
3.3%
국 8
 
3.0%
에 8
 
3.0%
중 8
 
3.0%
연 7
 
2.6%
제 7
 
2.6%
시 6
 
2.2%
전 6
 
2.2%
Other values (100) 180
66.9%
Latin
ValueCountFrequency (%)
e 2146
 
10.2%
a 1886
 
9.0%
n 1799
 
8.6%
o 1797
 
8.6%
i 1633
 
7.8%
t 1411
 
6.7%
r 1360
 
6.5%
s 908
 
4.3%
l 742
 
3.5%
c 602
 
2.9%
Other values (41) 6665
31.8%
Common
ValueCountFrequency (%)
3250
85.4%
- 204
 
5.4%
, 60
 
1.6%
2 46
 
1.2%
’ 37
 
1.0%
. 34
 
0.9%
0 33
 
0.9%
: 33
 
0.9%
1 19
 
0.5%
' 17
 
0.4%
Other values (15) 74
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24709
98.7%
Hangul 269
 
1.1%
Punctuation 47
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3250
13.2%
e 2146
 
8.7%
a 1886
 
7.6%
n 1799
 
7.3%
o 1797
 
7.3%
i 1633
 
6.6%
t 1411
 
5.7%
r 1360
 
5.5%
s 908
 
3.7%
l 742
 
3.0%
Other values (62) 7777
31.5%
Punctuation
ValueCountFrequency (%)
’ 37
78.7%
” 4
 
8.5%
“ 4
 
8.5%
‘ 2
 
4.3%
Hangul
ValueCountFrequency (%)
한 21
 
7.8%
구 9
 
3.3%
대 9
 
3.3%
국 8
 
3.0%
에 8
 
3.0%
중 8
 
3.0%
연 7
 
2.6%
제 7
 
2.6%
시 6
 
2.2%
전 6
 
2.2%
Other values (100) 180
66.9%

Interactions

2024-03-15T08:04:58.354670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T08:05:06.539409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업연도국가
사업연도1.0000.286
국가0.2861.000
2024-03-15T08:05:06.779519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업연도국가
사업연도1.0000.093
국가0.0931.000

Missing values

2024-03-15T08:04:58.695573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T08:04:59.056196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

사업연도국가연구기관명사업명
02017독일Freie Univeristy Berlin (FU)Establishment of Fellow Position “Korea in East Asia”
12017러시아극동연방대학교(서울대 아시아연구소 중앙아센터, 한림대국제대학원 공동)A Multi-Level and International Study on the Development of Korean-Russian Relations and the Formation of New Order in Northeast Asia: In Search of Mini-lateralism
22017러시아국제경제 및 국제관계 연구소 (IMEMO)Beyond Six-Party Talks New Agenda for Korean Peninsula and Regional Powers
32017러시아Carnegie Moscow CenterRepublic of Korea’s Relations with Russia: Assessing the Regional and Global Context
42017미국Chicago Council on Global Affairs (CCGA)2017 Chicago Council Survey with a special focus on the Korea-US relationship and additional engagement and dissemination with young professionals
52017미국RANDAlternative Paths to Korean Unification
62017미국Atlantic CouncilAtlantic Council-Korea Foundation Senior Fellow Program
72017미국Center for Strategic and International Studies (CSIS)Beyond Parallel: Bringing Transparency and Understanding to Korean Unification
82017미국Center for a New American Security (CNAS)CNAS Next Generation National Security Leaders Program Seminar Series & Field Study to Korea
92017미국Center For Advanced Defense Studies (C4ADS)Disrupting North Korean Proliferation Networks Proposed
사업연도국가연구기관명사업명
3162023중국Grandview Institution (GVI)China-ROK Crisis Management Mechanism
3172023중국Shanghai Jiao Tong UniversityOn the trend of trade structure and Distance To Frontiers in main industries-Comparison between Korea and China
3182023중국Wuhan University한국, 북한 및 중국 3국간 한반도 주변수역에서의 어업 협력 방안에 관한 연구
3192023칠레Center for Comparative Studies of Korea, Central University of ChileDevelopment of a Policy Model for the Chilean Cultural Industry Lessons from South Korea
3202023캐나다Macdonald-Laurier InstituteBuilding a Canada-Korea Partnership in the Indo-Pacific
3212023캐나다Canadian Global Affairs InstituteKorea-Canada Relations Security Challenges and Opportunities for Partnership
3222023태국Institute of East Asian Studies (IEAS), Thammasat UniversityWhither the Future of the Mekong-ROK Cooperation in the Changing Mekong Regional Order- A Perspective from Thailand
3232023프랑스Foundation for Strategic ResearchFRS-KF Korea Program on Security and Diplomacy-Phase 6 France and Korea, Key Partners in the Indo-Pacific and Beyond
3242023필리핀University of the Philippines-Diliman (UP)A Decade of Korean Studies in the Philippines A Glance at the Past, A Gaze at the Present, A Glimpse of the Future
3252023호주Australian Institute of International Affairs (AIIA)Korea and Indo-Pacific: An #AIIANextGen Policy Forum